Investigation of Relationship Between High-Energy X-ray Sources and Photospheric and Helioseismic Impacts of X1.8 Solar Flare of October 23, 2012
Ivan N Sharykin, Alexander G Kosovichev, Viacheslav M Sadykov, Ivan V, Zimovets, Ivan I Myshyakov

TL;DR
This study investigates the connection between high-energy X-ray sources and photospheric and helioseismic impacts during the October 23, 2012, X1.8 solar flare, revealing discrepancies between observations and existing models.
Contribution
It provides high-resolution analysis of flare energy release and highlights the need for models with higher electron energy flux to explain observed impacts.
Findings
Photospheric disturbances coincide with X-ray emission regions but are delayed by less than 4 seconds.
Observed variations are larger than those predicted by current hydrodynamic models.
Photospheric impact and helioseismic waves may be caused by electron energy fluxes higher than current models assume.
Abstract
The X-class solar flare of October 23, 2012, generated continuum photospheric emission and a strong helioseismic wave ("sunquake") that points to an intensive energy release in the dense part of the solar atmosphere. We study properties of the energy release with high temporal and spatial resolutions, using photospheric data from the Helioseismic Magnetic Imager (HMI) onboard Solar Dynamics Observatory (SDO), and hard X-ray observations made by the Ramaty High-Energy Solar Spectroscopic Imager (RHESSI). For this analysis we use level-1 HMI data (filtergrams), obtained by scanning the Fe I line (6731~\AA) with the time cadence of s and spatial resolution of per pixel. It is found that the photospheric disturbances caused by the flare spatially coincide with the region of hard X-ray emission, but are delayed by seconds. This delay is…
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Investigation of Relationship Between High-Energy X-ray Sources and Photospheric and Helioseismic Impacts of X1.8 Solar Flare of October 23, 2012
I.N. Sharykin11affiliation: Space Research Institute (IKI) of the Russian Academy of Sciences 22affiliation: Institute of Solar-Terrestrial Research (ISTP) of the Russian Academy of Sciences, Siberian Branch , A.G. Kosovichev33affiliation: New Jersey Institute of Technology , V.M. Sadykov33affiliation: New Jersey Institute of Technology , I.V. Zimovets11affiliation: Space Research Institute (IKI) of the Russian Academy of Sciences , I.I. Myshyakov22affiliation: Institute of Solar-Terrestrial Research (ISTP) of the Russian Academy of Sciences, Siberian Branch
Space Research Institute of RAS, Moscow 117997, Russia
Abstract
The X-class solar flare of October 23, 2012, generated continuum photospheric emission and a strong helioseismic wave (“sunquake”) that points to an intensive energy release in the dense part of the solar atmosphere. We study properties of the energy release with high temporal and spatial resolutions, using photospheric data from the Helioseismic Magnetic Imager (HMI) onboard Solar Dynamics Observatory (SDO), and hard X-ray observations made by the Ramaty High-Energy Solar Spectroscopic Imager (RHESSI). For this analysis we use level-1 HMI data (filtergrams), obtained by scanning the Fe I line (6731 Å) with the time cadence of s and spatial resolution of per pixel. It is found that the photospheric disturbances caused by the flare spatially coincide with the region of hard X-ray emission, but are delayed by seconds. This delay is consistent with predictions of the flare hydrodynamics RADYN models. However, the models fail to explain the magnitude of variations observed by the HMI. The data indicate that the photospheric impact and helioseismic wave might be caused by the electron energy flux substantially higher than that in the current flare radiative hydrodynamic models.
Sun: flares; Sun: photosphere; Sun: chromosphere; Sun: corona; Sun: magnetic fields
1 INTRODUCTION
Energy release during solar flares involves all layers of the solar atmosphere. Disturbances in the photosphere in the form of continuum emission are not frequent and usually observed in strongest flares. One of the most poorly understood phenomenon in the physics of solar flares is “sunquakes” initially detected by Kosovichev & Zharkova (1998). The basic properties and theories of sunquakes can be found in the reviews of Donea (2011) and Kosovichev (2014). Generally, sunquake represents a helioseismic response, which is observed in Dopplergrams as concentric waves spreading out from an initial photospheric impact occurred during the impulsive phase of a solar flare. One scenario for initiation of helioseismic waves is a hydrodynamic impact caused by expansion of the chromospheric plasma heated by injection of nonthermal charged particles accelerated in the corona (Kosovichev & Zharkova, 1995). The numerical hydrodynamic modeling of the beam-driven thick-target theory (Kostiuk & Pikelner, 1975; Livshits et al., 1981; Fisher et al., 1985; Kosovichev, 1986; Mariska et al., 1989; Rubio da Costa et al., 2014) predicts formation of a chromospheric shock that transfers the energy and momentum from the overheated chromospheric plasma to the colder and denser photosphere. This leads to compression and heating of the photosphere, and generation of helioseismic waves propagating into the deep solar interior.
Alternatively the plasma momentum can be transferred by other mechanisms, such as a sharp enhancement of the pressure gradient due to eruption of magnetic flux-rope (e.g. Zharkov et al., 2011, 2013) or by an impulse Lorentz force which can be stimulated by changing magnetic fields in the lower solar atmosphere (Hudson et al., 2008; Fisher et al., 2012; Alvarado-Gómez et al., 2012; Burtseva et al., 2015; Russell et al., 2016). Sharykin & Kosovichev (2015) and Sharykin et al. (2015) discussed that rapid dissipation of electric currents in the low atmosphere could also explain sunquake initiation. However, it is possible that different sunquake events are caused by different mechanisms.
In this work we test the beam-driven theory of the photospheric impact and sunquake initiation. A large fraction of nonthermal electrons is thermalized in the chromosphere during their precipitation, and heats the chromosphere to very high temperatures. This process is accompanied by the HXR emission. After this, a shock wave (“chromospheric condensation”) is generated, and travels from the chromosphere to the photosphere, producing helioseismic waves. According to this model there should be a time delay between the HXR peak (indicating the maximum precipitation rate of the nonthermal electrons into the chromosphere) and the photospheric perturbation. Our task is to find this delay and its value from observations. Data with high temporal resolution are needed to find such delay. We use X-ray observations of RHESSI (Lin et al., 2002), and level-1 SDO/HMI data (filtergrams, Scherrer et al. (2012)). The HMI instrument scans the Fe I 6173 Å line in different polarizations to determine the line-of-sight (LOS) magnetic field, continuum intensity, Doppler velocity and the vector magnetic field in the photosphere. The intensity, Doppler velocity and LOS magnetic field maps are obtained with the time cadence of 45 sec, and do not have enough temporal resolution for measuring the time delay. The level-1 HMI filtergrams have the temporal resolution of s (for each of the two HMI cameras) which is comparable with the RHESSI time cadence of s, determined by the rotation period of spacecraft, needed for reconstruction of X-ray images. These data give us a chance for measuring the time delay.
For analysis we selected the X1.8 solar flare of October 23, 2012, started approximately at 03:13:00 UT. This flare was located in active region NOAA 1598 with heliographic coordinates S13E58. The flare generated strong helioseismic waves traveling from a large scale photospheric disturbance well seen in all HMI observables. So far, this is the strongest sunquake of Solar Cycle 24. Also, this flare produced an intensive photospheric emission source during the impulsive phase. To determine the time delay between the hard X-ray impulse and the photospheric impact we develop a special procedure for analysis of the HMI filtergrams. For comparison with the flare hydrodynamics simulations RADYN (Allred et al., 2015) we use the NLTE radiative transfer code RH (Pereira & Uitenbroek, 2015) to calculate the HMI line profile and its characteristics.
2 VARIATIONS OF HARD X-RAY, PHOTOSPHERIC AND HELIOSEISMIC SIGNALS
Temporal variations of the hard X-ray and HMI observables: time derivative of relative intensity variations and the total positive Doppler speed signal in the flare region (grey histogram) are shown in Fig. 1A. These HMI parameters are calculated as sums of all pixel’s values in the region of significant enhancement of the continuum emission (Fig. 1B). One can see that corresponds to the HXR peak. The Dopplergram signal enhancement in the flare region has a peak sec after the HXR peak. However, the 45-sec cadence of the HMI standard observables does not allow us to make a precise comparison with the 4-second RHESSI count rate.
Sunquake sources are usually associated with strong impulsive photospheric Doppler-shift signals and HXR sources (e.g. Kosovichev, 2006). We present a time-difference Dopplergram (Fig. 1C) calculated at the peak of the HMI continuum flare emission (Fig. 1B) projected onto the heliographic coordinates and shown in the local Cartesian coordinates. The photospheric continuum emission enhancement as well as the Doppler-shift perturbation during the HXR peak were observed as two ribbons long and apart. A significantly weaker continuum emission source was located about east from the strongest source (Fig. 1B). The entire photospheric emission pattern had a circular shape. One can notice that the sizes and shapes of the continuum emission source and the region of the enhanced Doppler-shifts are similar. The time profiles in Fig. 1A reveal that the Doppler-shift perturbation is impulsive and precedes the peak of the total continuum emission. The circular shape of the photospheric emission sources is associated with a dome topology of the coronal magnetic field (Yang et al., 2015).
The sunquake event was initially revealed as a circular wave in the running difference of Dopplergrams remapped onto the heliographic coordinates (Fig. 1D). This photospheric wave is a manifestation of acoustic waves traveling through the solar interior from a local flare-induced perturbation. To isolate the wave signal from convective noise we applied a Gaussian filter with a central frequency of 6 mHz and width of 2 mHz. Fig. 1C illustrates the positions of the flare impact revealed as black-white regions corresponding to enhanced Doppler shift changes (positive or negative). The wave front is best visible about 15 minutes after the initial flare impact in the photosphere. The wave front amplitude is highly anisotropic (Fig. 1D). The wave front traveling West had higher amplitude, than the wave front traveling East.
The time-distance (TD) diagram for the strong helioseismic wave traveling West is shown in Fig. 1E. Two solid red lines in panels C and D show the orientation of the image bands, along which we calculated the diagram. The bands are seven pixels wide, and oriented perpendicular to the wave front. We used these directions to calculate the TD diagram instead of circular averaging because the wave front was not completely circular due to the elongated source. Dashed curve in the TD diagram represents the theoretical time-distance relation calculated in the ray approximation for a standard solar interior model of Christensen-Dalsgaard et al. (1993). One can see that the position of the wave in the TD diagram is in accordance with the theoretical model.
To reconstruct the two-dimensional structure of the seismic source we used the helioseismic holography method (Lindsey & Braun, 1997; Donea et al., 1999; Lindsey & Braun, 2000). This approach uses a theoretical Green function of helioseismic waves to calculate the egression acoustic power corresponding to the observed velocity perturbations at various frequencies. The egression acoustic power map made in the frequency range of 5-7 mHz presented in Fig. 2A reveals two compact (less than 3 Mm in size) acoustic sources in the flare region located on both sides of the PIL (black curve in Fig. 2A). The PIL was determined using the HMI vector magnetogram reprojected onto the heliographic grid. The temporal profile (red curve in panel B) of the egression acoustic power has a complex oscillating structure related to the helioseismic holography Fourier transform reconstruction procedure. However, one can see that enhancement of the egression power corresponds to the flare impulsive phase when RHESSI detected HXR emission (gray histogram in panel B). Comparison of the sunquake source location with the X-ray signal and the photospheric impact is discussed in Section 4.
3 ANALYSIS OF HMI FILTERGRAMS
The two HMI cameras scan the Fe I line (6173 Å), producing a series of images with the pixel size of 0.5*′′* for six wavelength positions across the line and in the near continuum, with a filter bandwidth (FWHM) mÅ and the total wavelength tunning range mÅ (Couvidat et al., 2016). Camera 1 takes images in linear polarization; and Camera 2 produces filtergrams in right and left circular polarizations. The filtegrams from both cameras are used to reconstruct the full Stokes profiles. For the line-of-sight magnetograms, Dopplergrams and continuum intensity (level-2 data), only Camera 2 is used. We use the filtergram data from both cameras to achieve a high temporal resolution in order to investigate variability of the photospheric flare emission sources. Previously, HMI filtergrams were used in the works of Saint-Hilaire et al. (2014) and Martínez Oliveros et al. (2014), for analysis of limb observations of flare loops. The time cadence of the level-1 data from each camera is 3.6 seconds, or 1.8 seconds for the sequence of filtergrams from both cameras. The RHESSI observations have the temporal resolution of 4 seconds determined by the spacecraft spinning period needed to obtain a full set of Fourier components used for image reconstruction.
First, for the HMI data analysis we subtract preflare filtergrams from the filtergrams taken during the impulsive phase. This allows us to detect changes in the flare region. An example of such processed filtergram is shown in Fig. 3A. Then we compare the time profile of a quiet Sun region (point Q1) with the time profile of the flare region (point F2) shown in Fig. 3B. We present the time profile only for one pixel (Q1) because other quite Sun pixels show a similar behavior associated with the surface convection. The periodic variations of the line scans are due to the intensity changes across the line.
To remove the variations we apply a frequency filter. Figure 3C shows the power spectra of the quiet Sun and flare regions for both cameras. One can see that the power spectrum for Camera 1 is more complex than the spectrum for Camera 2. There are 15 peaks above the threshold for Camera 1 and only 7 peaks for Camera 2. The largest peaks are harmonics of the 45-sec periodicity of the line scanning, and the Camera 1 data have an additional modulation corresponding to the 135-sec observing cycle. One can see that the modulation peaks for the flare and quiet Sun regions coincide with each other. To reduce the instrument modulation we apply Gaussian filters with the width of 10 mHz centered at the modulation peaks: 14 filters for Camera 1 and 6 filters for Camera 2.
4 COMPARISON OF HMI FILTERGRAMS WITH RHESSI OBSERVATIONS AND RECONSTRUCTED SUNQUAKE SOURCE
The filterd HMI filtergrams allow us to study the flare development with high temporal resolution. The initial photospheric flare perturbation was observed as small-scale weak photospheric brightenings (filtergram at 03:14:57 UT in Fig. 4a). Then the flare emission is observed in four compact sources (03:15:09 UT, Fig. 4b). Later we observe a strong emission enhancement in the form of large scale ribbons (03:15:54 UT, Fig. 4f). The largest enhancement of the photospheric emission was approximately during the HXR peak and was about % above the quite Sun background.
In Fig. 4, we compare the photospheric flare emission sources with the HXR sources from the RHESSI observations. The HXR images are synthesized in three energy bands: 6-12, 25-50 and 50-200 keV, using the CLEAN algorithm (Högbom, 1974; Hurford et al., 2002). RHESSI Detectors 2,3,5,6 and 7 are used for the analysis. The high RHESSI count rate in this flare allows us to reconstruct the HXR images with the 4-second resolution and the pixel size of 2*′′*. The HXR image field of view is . The HXR sources were very dynamic during the flare impulsive phase. There were several HXR sources located in different parts of the photospheric flare ribbons. Generally, the 25-50 keV sources did not exactly coincide with the 50-200 keV sources. Sometimes positions of the HXR 25-50 keV sources correlate with the 6-12 keV emission sources (e.g. panels h and i). At the beginning of the impulsive phase (03:15:08 UT) the HXR sources nicely fit the photospheric enhanced intensity kernels (Fig. 4b, c). During the maximum (approximately at 03:15:54 UT) the HXR emission source was relatively compact, had approximately circular shape with diameter of , and was located at the south end of the photospheric ribbon.
In Fig. 5A-D we compare positions of the acoustic egression sources (red contours) derived from the helioseismic holography procedure, described in Sec. 2, with the HXR sources and the photospheric emission sources from the HMI high-cadence filtergram data obtained in Sec. 3. The acoustic source map is computed for the flare impulsive phase. One can see that the photospheric and HXR emission originated from the same region in the vicinity of the PIL, where the helioseismic waves originated. Two strong acoustic sources correspond to the two emission ribbons observed in the HMI filtergrams. Due to the relatively low spatial resolution and dynamic range of the RHESSI images we cannot make a more precise comparison of the HXR sources with the HMI observations. However, during the first half of the impulsive phase the strongest HXR and photospheric emissions coincide with the strongest sunquake source.
The demodulated HMI filtergram time profiles are shown in Fig. 6A for three flare points located in different parts of the flare ribbons (see Fig. 3A). Points F1 and F2 are located in the sunquake source area. Point F2 corresponds to the strongest sunquake source (Fig. 2A). In Fig. 6B the selected flare points are shown in the Hinode/SOT (Solar Optical Telescope) time-difference red continuum (6684 Å) image. We calculated photon fluxes in the region-of-interest (ROI, square region) around the selected points. We show these lightcurves by blue and grey colors which correspond to the energy ranges of 25-50 and 50-200 keV. The errors are calculated as (where I is HXR image pixel values) assuming the Poisson statistics (Bogachev et al., 2005). One can notice that the HXR emission in two considered energy ranges has a two peak structure in all three regions. The amplitude of these peaks are comparable with each other in points F2 and F3. The second HXR peak and the photospheric intensity maximum occurred almost simultaneously. The time delay of the photospheric perturbations relative to the absolute maximum of the HXR lightcurves is less than 4 seconds for points F1 and F2. In point F3 the absolute maximum of the HXR lightcurve was 40 seconds earlier than the maximum of the photospheric intensity enhancement.
To understand differences between the two HXR peaks we present the RHESSI imaging spectroscopy results in Fig. 7. The X-ray spectra were calculated for two different time intervals marked by grey vertical stripes in Fig. 6A. These time intervals correspond to the HXR peaks. The thermal part ( keV) was fitted by a single-temperature bremsstrahlung emission spectrum. The nonthermal part ( keV) was approximated by a double-power law, in which one power index was fixed at 1.5. It corresponds to the X-ray emission below low-energy cutoff of nonthermal electrons. The low-energy cutoff is simulated by a break in the spectrum. For higher energies, spectral index is a free fitting parameter. For numerical stability, is fixed and equal to 20 keV. Without fixing the fitting procedure leads to large errors of the fitting parameters. The fitting parameters are summarized in the Fig. 7 caption.
Point F1 is characterized by the strongest change in the HXR hardness. Spectral index changed from 3.7 to 2.9. Points F2 and F3 reveal minor changes in the hardness. The energy fluxes of nonthermal electrons were calculated following Syrovatskii & Shmeleva (1972). These energy fluxes at the three flare points were 1.4, 1.7, and 0.8 erg/s, respectively, during the first HXR peak. The second peak was characterized by lower nonthermal energies: 1.1, 1.5, and 0.7 erg/s.
To estimate the electron precipitation area one can assume that it represents a circular region with a diameter equal to the photospheric ribbon width. From the HMI filtergrams one can determine the width of the photospheric ribbons as Mm. This estimate gives the precipitation area of cm2. The nonthermal electron energy flux per unit area is about erg s*-1cm-2* for the total flux of erg/s. Using the Hinode/SOT time difference images with the pixel size of about 0.1*′′, one can deduce the area of particle precipitation more accurately. Figures 6C, D show the image slices along the X direction for three Y positions around points F1 (panel C) and F2 (panel D). The ribbon width (FWHM of intensity profile peaks) is in the range of Mm. In this case the energy density flux is in the range of erg s-1cm-2*. These estimates represent the upper limit of the electron energy density flux. The lower limit of the energy density flux can be also calculated using the SOT time difference images. The emission area above a threshold of 200 DNs is about cm2. Thus, the low limit for the energy density flux is erg s*-1cm-2*.
To demonstrate that the nonthermal electrons can generate the helioseismic waves we compare their energies with the energy of the helioseismic perturbation determined by integrating acoustic energy flux in the egression source. Here, g cm*-3* is the photospheric plasma density, km s*-1* is the amplitude of plasma velocity perturbation determined from the acoustic egression maps, and km s*-1* is the photospheric sound speed. This gives the total helioseismic energy erg which is approximately 1% of the total energy of nonthermal electrons, erg, determined from the RHESSI X-ray spectra using formulas of Syrovatskii & Shmeleva (1972). Thus, the nonthermal electrons have enough energy to generate the sunquake.
5 DISCUSSION AND CONCLUSIONS
We analyzed the helioseismic response (“sunquake”) of a X-class flare using HMI filtergrams and RHESSI X-ray data and found that the sources of the helioseismic waves were cospatial with the photospheric and HXR emissions during the flare impulsive phase. Using the HMI level-1 data (filtergrams) we determined positions of the photospheric intensity enhancements caused by the flare and extracted the time profiles with a 3.6-sec time cadence, and compared these with the high-cadence HXR data from RHESSI. The results showed that the time delay between the photospheric intensity and HXR peaks is less than 4 seconds.
To compare with theoretical predictions we use results of the radiative hydrodynamic flare modeling from the RADYN database (http://www.fchroma.org, Allred et al., 2015). The energy spectrum of nonthermal electrons is described by a power-law function with , the peak energy density flux of erg s*-1* cm*-2* (the highest available), and the low energy cutoff of 25 keV. The temporal profile of the nonthermal electron flux has a triangular shape and duration of 20 seconds. We consider the model with the largest energy density fluxes of nonthermal electrons. In the RADYN database, this model provides the strongest response in the low atmosphere. Using the plasma parameters and velocities from the RADYN model as an input for the radiative transfer code RH (Pereira & Uitenbroek, 2015) we calculate the Fe I 6173 Å line observed by HMI. The theoretical time delay between the electron flux peak and HMI line response is consistent with the observations (Fig. 7D). This shows that the radiative hydrodynamic model has a good potential for explaining the photospheric impacts. However, the magnitude of the predicted impact is much weaker in the model than in the observations.
In the model the Doppler velocity perturbation shows a weak ( km/s) downflow which almost coincides with the heating function, followed by a gradual upflow. The amplitude of the plasma velocity in the photosphere in the model does not exceed 0.1 km/s. It is clear that the RADYN flare model fails to explain the HMI continuum emission, and does not provide the momentum transfer that is needed for the sunquake initiation. Our analysis shows that if the photospheric and helioseismic response is caused by the hydrodynamic response of the electron beam-heated atmosphere then the electron energy flux must be erg s*-1* cm*-2*, that is much higher than in the currently available flare radiative hydrodynamic models. Further development of flare radiative hydrodynamics models and other possible mechanisms of sunquake initiation is needed for better understanding of the observed photospheric and helioseismic effects.
This work was partially supported by NASA NESSF Fellowship Grant NNX16AP05H, and NASA grant NNX14AB68G.
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